Rudina Seseri

Organizations recovering 9 hours per person per week and achieving 46% faster time-to-market using Narratize #AI platform. Katie Trauth Taylor, PhD and the team have been relentless in building out the AI platform to assist organizations in a meaningful way.

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In a rapidly evolving healthcare landscape, experience-centered AI is poised to drive the next wave of innovation. Unlike incremental point solutions that address isolated inefficiencies, this approach integrates AI seamlessly across all touchpoints - creating a cohesive, patient-centric system. By focusing on outcomes, not just outputs, experience-centered AI empowers both patients and healthcare providers, improving communication, trust, and health outcomes. With tools designed to reduce administrative burdens and personalize care, this paradigm shift promises more affordable, efficient, and empathetic healthcare. The key to success will be fostering trust through responsible, transparent AI development that protects privacy and mitigates bias. #AIinHealthcare #PatientExperience #Healthcare #DigitalHealth #AI https://lnkd.in/gey7mU2i

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Institutions don’t fail all at once. They fail when design can’t keep up with change. In Davos this week, I’ll be joining the inaugural gathering of the Institutional Research Network, a new initiative convened by The Digital Economist. The focus is not another set of conversations but the patient work of connecting research, markets, and governance so ideas can take institutional form and hold under real-world pressure. Some initiatives are about visibility. This one is about durability. #Davos2026 #InstitutionalDesign #IRN #TheDigitalEconomist

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The hardest companies to build are often the ones the world needs most. Resilience Tech—spanning hardware, software, deep tech, and infrastructure—demands more than just great ideas. The real test isn’t proving the technology works—it’s building it into a company that can scale and last. At B Capital, Karly Wentz and I distilled what we’ve learned into a 10-factor framework for growth investing in this space. It’s how we separate promising pilots from companies that can scale into lasting platforms. Our conviction: the companies that matter most over the next decade will be those that fuse breakthrough science with business fundamentals—and deliver measurable resilience at scale. Read the full article here: https://lnkd.in/gv8jaMPK

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C10 Labs Expanding into the New England AI and innovation ecosystem! C10 Labs and RIHub have partnered to accelerate the growth of applied AI startups across Massachusetts and Rhode Island. The collaboration provides early-stage founders with shared resources, accelerator support, investor access, and mentorship in sectors like applied at the intersection of core sectors like health, energy, climate, biotech, and robotics. #AI #Startups #Innovation #NewEngland #VentureCapital. David Berlin Patricia Geli Beth Porter Marissa Flanagan

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A new report from the MIT Media Lab's Project NANDA concludes that despite $30-40 billion in enterprise spending on generative AI, 95% of organizations are seeing no business return. https://bit.ly/47pDSbT

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I am thrilled to announce the publication of our latest book chapter on behalf of Accel.AI, "Government AI Investment: Fostering Innovation, Collaboration, and Global Leadership," co-authored with Abraham Ramos Torres. This chapter is part of the new book, Artificial Intelligence and Government: Examining the Roles and Uses of AI in Enhancing Government Operations. As AI continues to reshape the global landscape, our research explores how strategic government investments, both internal and external, are essential for streamlining decision-making and boosting national competitiveness. We dive deep into: 📈 Automation and cybersecurity in public administration. 🌐 Case studies from the U.S., China, and the EU. ⚖️ The critical balance between rapid innovation and ethical safeguards. Whether you are a policymaker, researcher, or tech leader, this chapter offers a roadmap for the future of AI-driven governance. Available now in eBook and hardcover: https://lnkd.in/g5UDmQSm #AI #GovernmentTech #PublicPolicy #Innovation #ArtificialIntelligence #GlobalLeadership

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Xona Space Systems has secured a landmark $92M Series B funding round, led by Craft Ventures with continued support from Seraphim Space and other top investors. This brings Xona’s total funding to over $150M as they accelerate their mission to rebuild global navigation with their groundbreaking Pulsar constellation in Low Earth Orbit. Earlier this month, Xona successfully launched Pulsar-0, their first production-class satellite, a huge milestone on the path from R&D to full commercial deployment. Pulsar’s 100x stronger, encrypted signals with centimetre-level precision will transform autonomy, critical infrastructure, defense, and more. Xona’s Pulsar constellation is changing the game with a commercial-grade satellite navigation system built in low Earth orbit that offers: 🛰️ 100x stronger signals for reliable coverage in urban canyons, under dense foliage, and indoors 🛰️Centimeter-level precision critical for self-driving vehicles, robotics, precision agriculture, and augmented reality 🛰️Built-in encryption and signal authentication to protect against spoofing and interference Huge congratulations to Brian Manning and the entire Xona team on this incredible achievement. We’re proud to continue supporting their journey! #SpaceTech #Navigation #LEO #Investment #Innovation #Seraphim #XonaSpaceSystems

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How did a small city like the City of Corona become a surprising innovation hub for AI? In our latest GovAI podcast, I sat down with Chris McMasters, CIO of Corona, California. After nearly two decades in the private sector, Chris made the leap into government—driven by a sense of purpose to serve. Our conversation tackled a big question: why does government often lag in adopting new technologies like AI? Chris explained it’s not about chasing the latest tech—it’s about protecting the people they serve and ensuring any new tool actually makes a difference. The key? Build trust first, then show—not tell—how technology can help. Chris believes AI won’t replace people—it’ll free them to focus on what humans do best. His vision: a future where city services are as seamless as ordering from Amazon, with AI agents removing the red tape. For anyone working in GovTech, or trying to break in, you'll learn a lot from this conversation. 🔗 Check it out here: https://lnkd.in/dzNed-ZP or listen here: https://lnkd.in/dhpwW_-8

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I recently joined Alex Shevelenko, CEO of RELAYTO AI, on the podcast to discuss how leaders can navigate the intersection of AI and shifting business landscapes. We discussed the challenges CEOs face with two jobs: running the current business model and designing the next one. If you aren’t auditing your business model with the same rigor as your financial statements, you’re at risk. And the biggest hurdle to innovation isn't technical; it's a culture that fears failure. To succeed with AI, organizations must move away from "gut feelings" and toward a structured, mathematical process of experimentation. Listen to the full episode here: https://lnkd.in/gBfTNRY3 #AI #BusinessModels #Innovation The Wharton School #Amazon #Leadership #FutureOfWork

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If Mustafa Suleyman is even half right and “most white‑collar work will be fully automated within 12–18 months,” founders and innovation leaders have two choices. Sit in the anxiety of what happens to us? Or, start deliberately re‑designing how we work with these tools. Suleyman, the CEO of Microsoft AI, lays out that 12–18 month horizon very plainly in this interview: https://lnkd.in/gSgjuRP4 At the same time, the companies building this tech appear to be wobbling. OpenAI researcher Zoe Hitzig recently resigned, warning that their “archive of human thought” now powers an ad platform with massive potential for manipulation. Over at xAI, Musk reportedly lost 10 co‑founders and engineers in a single week. Ethics, burnout, and speed-at-all-costs are colliding. So we’re in a strange moment. Capital is betting that AI will replace expensive human labor, the builders themselves are sounding alarms about how it’s deployed, and most founders, intrapreneurs, and consultants are stuck in the middle, unsure how to move. My view with AFFIRMAITIVE is that AI shouldn’t just be a cheaper worker. It should be a better collaborator. That’s why we built OPA™ (AFFIRMAITIVE’s Operating Partner Architect) as a digital colleague that helps you stress-test ideas and business models with structure, build the plans, financials, and decks investors expect, and generate functional prototypes without needing to code. Not to erase but to amplify human judgment. If the next 12–18 months are as disruptive as predicted, it is my belief that the winners won’t be those who ignore AI or those who outsource everything to it. It will be people and teams who learn to work with it, intentionally. That’s who we’re building for. #AFFIRMAITIVE #OPA #AI #futureofwork #entrepreneurship

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What is Deep Tech orchestration? BBN Times have sought to explain it in the article below. It involves the strategic integration and coordination of advanced technologies such as AI, digital twins, blockchain, and quantum computing -- and is essential for driving innovation and transformation across various industries. The prize is that, when effectively orchestrated, Deep Tech can deliver transformative benefits, including enhanced operational efficiency, cost reduction, and improved decision-making. Looking ahead, we may well need our education systems to be recalibrated to equip future leaders with the skills necessary for Deep Tech orchestration. We would be interested in your thoughts on this. For the full article, see: https://lnkd.in/gf3tx4RY

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How Can Companies Incentivize Artificial Intelligence AI Adoption? The road to meaningful AI adoption should be paved with employee incentives. Wharton’s Scott Snyder draws a map to show business leaders how they can get there. KNOWLEDGE AT WHARTON 14th January 2026

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An interesting read on #AImanagement: The Rise of #AI Corporate Citizens: which AI models to follow - what’s at stake - where humans lead: “#Leaders need to invest in operating-model redesigns, build new talent archetypes, and establish trust mechanisms that enable humans and AI to #collaborate safely and effectively at #scale. 👉🏻Humans will be custodians, who ensure the integrity of #data, model performance, and customer outcomes. 👉🏻Judgment holders who handle ambiguous or high-stakes decisions where context, nuance, and trust are essential. 👉🏻Approvers and auditors who review exceptions, manage escalations, and reinforce compliance boundaries. 💡Rethinking decision-making with 🧠 ‘smart ops’ To unlock the full potential of AI in service operations, organizations need to do more than deploy technology. They need to rearchitect how decisions are made and how work is done—by building a “smart ops” structure where humans and AI agents operate in coordinated, complementary roles. 📍#Governance and oversight - Humans operate under #policies and cultural norms. AI agents need the same guardrails: ethical #frameworks, transparency, auditability, and fail-safes for sensitive decisions. Especially in regulated sectors, this isn’t optional—it’s existential.” Source: McKinsey #ai #aimanagement #aiefficiency #llm #agenticai #aimodels #aiframework #infra #aipolicies #government #aisafety #impact #scale #generalpurpose #data #mckinsey

While investing in #AI, many corporations fail to achieve strong ROI as a result. The root of this failure is not technological. It is macroeconomic and organizational. US enterprises are attempting to execute a paradigm-shifting technological transition within a market environment that offers them no structural shock absorber, in the way a formal industrial policy can. These enterprises must navigate the AI transition while addressing a rapidly changing market environment and the AI Stakeholder Squeeze. The post builds expands on some of the ideas presented in the recent podcast with Ben Lorica 罗瑞卡 about remaining employable in the AI era (https://lnkd.in/gAGRYxQN) #AIstakeholdersqueeze #AItransition #industrialpolicy

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This McKinsey piece captures an important inflection point. The shift toward sovereign AI is not simply about technological capability — it is about who defines, capitalizes, and governs the ecosystems through which AI scales. What is becoming clear is that competitive advantage will not accrue to those who merely deploy models, but to those who architect and anchor the full stack — from compute and data governance to capital formation and institutional alignment. In that context, the traditional boundaries between public policy, capital markets, and enterprise strategy begin to converge. Jurisdictions that approach AI as sovereign infrastructure — and align long-duration capital with system-scale operators — will not only capture innovation, but shape the terms under which it compounds globally. The next phase will likely be defined by deliberate coordination between policymakers, builders, and patient capital — particularly where there is an opportunity to establish nationally significant platforms with global reach. For those allocating capital or building within this space, the question is no longer whether to participate, but whether they are positioned at the orchestration layer — or operating within someone else’s system.

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**Navigating AI Acquisitions: A Strategic Move** Anthropic's acquisition of Vercept highlights a critical trend in the AI landscape—strategic consolidations that bolster competitive capabilities. With Vercept’s innovative tools designed for enhancing user experience in application processing, this acquisition speaks volumes about the value of building diverse AI ecosystems. At ElevenX Capital, we believe such strategic moves are vital as they reflect an evolving market where agility in technology development is key. How do you foresee these acquisitions shaping the future of AI? #investing #innovation #venturecapital #entrepreneurship

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mpathic is becoming THE partner to the AI industry as they work to safeguard users from adverse mental health and safety outcomes As millions of users — including large numbers of young people — increasingly turn to AI chatbots as their first-line “counselors” and confidants, Seattle-based startup mpathic is stepping in to ensure those digital agents don’t provide dangerous advice when it matters most.

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📣 Together with the Massachusetts Technology Collaborative, Cambridge Computer, Dell Technologies, and VAST Data, we are expanding access to #acceleratedcomputing through the new Artificial Intelligence Compute Resources (AICR) cluster in Holyoke—a $31 million state-backed investment advancing secure, sustainable and inclusive AI research across the Commonwealth. AICR will be comprised of hundreds of #NVIDIABlackwell and #NVIDIARTXPRO Blackwell Server Edition GPUs. This represents one of the largest systems to be deployed through a state-level AI initiative in the country. Learn more now: https://bit.ly/3Yln3sT

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